Cloud Computing Operational Records for Carbon-Aware Resource Management

A dataset of cloud computing operational records for research in sustainable resource management, authored by Kalaiselvi S and last updated in May 2026. The 32.1 MB collection in CSV format captures interactions between workload demand, resource utilization, energy consumption, and carbon emission indicators. It is intended for developing machine learning and optimization models aimed at reducing environmental impact while maintaining service quality.

Use Cases

• Developing forecasting models for cloud energy consumption based on workload and resource utilization data.
• Evaluating optimization algorithms for carbon-aware workload scheduling using carbon emission indicators.
• Benchmarking resource allocation strategies against service-level agreement (SLA) and sustainability metrics.
• Training decision-support models for intelligent resource management based on renewable energy participation data.

Strengths

• Dataset is 32.1 MB in size, indicating a substantive collection of records.
• Explicitly licensed under CC-BY-4.0, permitting broad reuse with attribution.
• Description details a specific research focus on the intersection of cloud performance and environmental impact.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kalaiselvi S via figshare

Freshness

Last updated 2026-05-29 09:23:49